Hierarchical higher-order dynamic mode decomposition for clustering and feature selection.
Adrián CorrochanoGiuseppe D'AlessioAlessandro ParenteSoledad Le ClainchePublished in: Comput. Math. Appl. (2024)
Keyphrases
- higher order
- feature selection
- hierarchical clustering
- clustering algorithm
- unsupervised learning
- mutual information
- high dimensionality
- unsupervised feature selection
- hierarchical decomposition
- clustering method
- dynamic environments
- pairwise
- k means
- information theoretic
- machine learning
- spectral clustering
- high dimensional data
- high order
- information gain
- hierarchical representation
- hierarchical tree
- text categorization
- model selection
- feature extraction
- markov random field
- bi directional
- data mining and pattern recognition
- class separability
- multiscale
- feature space
- hierarchical clustering algorithm
- constrained clustering
- support vector machine
- distance metric
- multi class
- natural images
- microarray data
- outlier detection